Micro Computer (HK) Tech Limited AtomMan X Series
Geekbench ML Score
2432
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 23 2024 10:15 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AtomMan X Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd MTBAC |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1248
233.6 IPS |
|
|
Image Classification (F16)
|
100% |
1199
224.4 IPS |
|
|
Image Classification (I8)
|
99% |
2633
492.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
764
12.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
733
12.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1706
28.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
3339
4.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
4404
5.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
16804
20.3 IPS |
|
|
Object Detection (F32)
|
100% |
1224
91.4 IPS |
|
|
Object Detection (F16)
|
100% |
1257
93.8 IPS |
|
|
Object Detection (I8)
|
62% |
1250
93.4 IPS |
|
|
Face Detection (F32)
|
100% |
2922
34.7 IPS |
|
|
Face Detection (F16)
|
100% |
2924
34.8 IPS |
|
|
Face Detection (I8)
|
89% |
3417
40.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4688
36.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4648
36.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
10674
82.8 IPS |
|
|
Style Transfer (F32)
|
100% |
10648
14.0 IPS |
|
|
Style Transfer (F16)
|
100% |
10633
14.0 IPS |
|
|
Style Transfer (I8)
|
98% |
17279
22.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2005
71.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2052
73.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3633
129.7 IPS |
|
|
Text Classification (F32)
|
100% |
933
1.34 KIPS |
|
|
Text Classification (F16)
|
100% |
916
1.32 KIPS |
|
|
Text Classification (I8)
|
98% |
353
507.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1288
23.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1329
24.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2089
38.4 IPS |
